Learning robust pulses for generating universal quantum gates
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Dong, Daoyi; Wu, Chengzhi; Chen, Chunlin; Qi, Bo; Petersen, Ian; Nori, Franco
Description
Constructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and...[Show more]
dc.contributor.author | Dong, Daoyi | |
---|---|---|
dc.contributor.author | Wu, Chengzhi | |
dc.contributor.author | Chen, Chunlin | |
dc.contributor.author | Qi, Bo | |
dc.contributor.author | Petersen, Ian | |
dc.contributor.author | Nori, Franco | |
dc.date.accessioned | 2018-11-29T22:56:57Z | |
dc.date.available | 2018-11-29T22:56:57Z | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/1885/153682 | |
dc.description.abstract | Constructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and fluctuations during the process of realizing universal quantum gates. | |
dc.format.mimetype | application/pdf | |
dc.publisher | Nature Publishing Group | |
dc.source | Scientific Reports | |
dc.title | Learning robust pulses for generating universal quantum gates | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 6 | |
dc.date.issued | 2016 | |
local.identifier.absfor | 090602 - Control Systems, Robotics and Automation | |
local.identifier.ariespublication | u5357342xPUB315 | |
local.type.status | Published Version | |
local.contributor.affiliation | Dong, Daoyi, University of New South Wales | |
local.contributor.affiliation | Wu, Chengzhi, Nanjng University | |
local.contributor.affiliation | Chen, Chunlin, Nanjng University | |
local.contributor.affiliation | Qi, Bo, Chinese Academy of Sciences | |
local.contributor.affiliation | Petersen, Ian, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Nori, Franco, University of Michigan | |
local.bibliographicCitation.issue | 36090 | |
local.identifier.doi | 10.1038/srep36090 | |
local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
dc.date.updated | 2018-11-29T08:14:42Z | |
local.identifier.scopusID | 2-s2.0-84992603323 | |
local.identifier.thomsonID | 000386471900001 | |
dcterms.accessRights | Open Access | |
Collections | ANU Research Publications |
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01_Dong_Learning_robust_pulses_for_2016.pdf | 742.88 kB | Adobe PDF |
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